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Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses
If viral strains are sufficiently similar in their immunodominant epitopes, then populations of cross-reactive T cells may be boosted by exposure to one strain and provide protection against infection by another at a later date. This type of pre-existing immunity may be important in the adaptive imm...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472275/ https://www.ncbi.nlm.nih.gov/pubmed/34578367 http://dx.doi.org/10.3390/v13091786 |
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author | Gaevert, Jessica Ann Luque Duque, Daniel Lythe, Grant Molina-París, Carmen Thomas, Paul Glyndwr |
author_facet | Gaevert, Jessica Ann Luque Duque, Daniel Lythe, Grant Molina-París, Carmen Thomas, Paul Glyndwr |
author_sort | Gaevert, Jessica Ann |
collection | PubMed |
description | If viral strains are sufficiently similar in their immunodominant epitopes, then populations of cross-reactive T cells may be boosted by exposure to one strain and provide protection against infection by another at a later date. This type of pre-existing immunity may be important in the adaptive immune response to influenza and to coronaviruses. Patterns of recognition of epitopes by T cell clonotypes (a set of cells sharing the same T cell receptor) are represented as edges on a bipartite network. We describe different methods of constructing bipartite networks that exhibit cross-reactivity, and the dynamics of the T cell repertoire in conditions of homeostasis, infection and re-infection. Cross-reactivity may arise simply by chance, or because immunodominant epitopes of different strains are structurally similar. We introduce a circular space of epitopes, so that T cell cross-reactivity is a quantitative measure of the overlap between clonotypes that recognize similar (that is, close in epitope space) epitopes. |
format | Online Article Text |
id | pubmed-8472275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84722752021-09-28 Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses Gaevert, Jessica Ann Luque Duque, Daniel Lythe, Grant Molina-París, Carmen Thomas, Paul Glyndwr Viruses Review If viral strains are sufficiently similar in their immunodominant epitopes, then populations of cross-reactive T cells may be boosted by exposure to one strain and provide protection against infection by another at a later date. This type of pre-existing immunity may be important in the adaptive immune response to influenza and to coronaviruses. Patterns of recognition of epitopes by T cell clonotypes (a set of cells sharing the same T cell receptor) are represented as edges on a bipartite network. We describe different methods of constructing bipartite networks that exhibit cross-reactivity, and the dynamics of the T cell repertoire in conditions of homeostasis, infection and re-infection. Cross-reactivity may arise simply by chance, or because immunodominant epitopes of different strains are structurally similar. We introduce a circular space of epitopes, so that T cell cross-reactivity is a quantitative measure of the overlap between clonotypes that recognize similar (that is, close in epitope space) epitopes. MDPI 2021-09-07 /pmc/articles/PMC8472275/ /pubmed/34578367 http://dx.doi.org/10.3390/v13091786 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gaevert, Jessica Ann Luque Duque, Daniel Lythe, Grant Molina-París, Carmen Thomas, Paul Glyndwr Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title | Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title_full | Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title_fullStr | Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title_full_unstemmed | Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title_short | Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses |
title_sort | quantifying t cell cross-reactivity: influenza and coronaviruses |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472275/ https://www.ncbi.nlm.nih.gov/pubmed/34578367 http://dx.doi.org/10.3390/v13091786 |
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